Total 1,350 job vacancies in Singapore

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Development-of-Silicon-Photonics-Technology%29/32496-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Singapore Hybrid Integrated Next-Generation µ-Electronics (SHINE) research centre in National University of Singapore (NUS) is looking for applicants for a Research Engineer position in the area of Silicon photonic technologies.
The candidate will work closely with Researchers and Professor to
support the design, development, and evaluation of next-generation photonic systems. This includes translating simulated results into physical test vehicles and deriving insights through experimental work and data analysis.

Responsibilities will include:

1.    Conduct laboratory work involving simulation, fabrication, and characterization of photonic chips and devices.
2.    Basic data processing including analysis, correlation, troubleshooting, and presentation of experimental and simulation results.
3.    Conduct literature reviews to maintain awareness of recent advances in related photonic and interconnect technologies.
4.    Maintain accurate and detailed records of research activities, methodologies, and results.
5.    Collaborate with other engineers, scientists, and researchers to achieve project goals.
6.    Assist in equipment purchase, commissioning, and ownership.

Qualifications

•    A degree or higher degree in Electrical Engineering, Electronics, Physics, or related Science disciplines from a reputable University/Institute, or equivalent relevant experience. 
•    Passion in microelectronics or optoelectronics.
•    Candidate with experience in with Lumerical and/or Zemax simulation software is preferred.
•    Knowledge on programming skills (e.g. Python, MATLAB
•    Good communication skills, including scientific writing and presentation
•    Ability to work independently and collaborate within a diverse team.
•    Open to Fixed Term Contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/RESEARCH-ENGINEER-%28LOGISTICS-&-SUPPLY-CHAIN-OPTIMIZATION%29/32506-en_GB/

We regret that only shortlisted candidates will be notified.

The Role

Are you passionate about solving complex logistics and supply chain challenges through cutting-edge modeling, simulation, and data science?

The Logistics Institute – Asia Pacific (TLI-AP), a university-level research institute at the National University of Singapore is seeking a Research Engineer to join our dynamic team and contribute to innovation that drive operational excellence.

As a Research Engineer, you will:

• Design, build, and implement optimization models tailored to transportation and logistics contexts.
• Develop and refine custom heuristics and metaheuristics (e.g., Tabu Search, Genetic Algorithms) to solve large-scale, real-world problems.
• Utilize commercial and open-source solvers such as Gurobi, CPLEX, and Google OR-Tools.
• Deliver simulation-based data science solutions using tools like AnyLogic, AnyLogistix, FlexSim, Arena, and Demo 3D.
• Analyze historical and real-time data to uncover insights and support decision-making.
• Apply data-cleaning techniques and statistical analysis to understand complex datasets.
• Create compelling visualizations using MS Power BI and Tableau.

Requirements

• Bachelor or Master degree in Industrial Engineering, Operations Research, Computer Science, or a related field.
• Those with 1–2 years of experience in logistics and supply chain management is an advantage. Those without relevant work experience but who have the technical skills are welcome to apply.

• Proficiency in Python or similar programming languages and SQL.
• Experience with optimization tools (Gurobi, CPLEX, OR-Tools).
• Familiarity with simulation platforms (AnyLogic, FlexSim, Arena, AIMMS, Demo 3D).
• Skilled in data visualization tools (MS Power BI, Tableau).
• Strong command of MS Office Suite

Location: NUS Kent Ridge Campus, Singapore

Ready to make an impact? Apply now and be part of a team that’s shaping the future of logistics and supply chain innovation.

Interested applicants can submit their CV to the NUS Career Portal

Outreach Client Success Specialist (Survey Engagement Specialist)

Contract until Dec 2026 (renewable)

Working Hours: Mon-Fri office hours

Central : Havelock Road / Newton

Key Responsibilities:

• Operations: Collect data through phone and face-to-face interviews, ensuring a smooth and professional survey experience that fosters high response rates and customer satisfaction
• Strategy Development: Design and implement strategies to encourage online participation, reducing reliance on face-to-face interviews and optimizing survey response rates
• Questionnaire Design: Utilize modern techniques to design surveys that meet organizational needs while keeping pace with technological trends and improving operational efficiency
• Sampling Methodology: Apply advanced sampling methods that minimize survey fatigue among the public while ensuring the accuracy and representativeness of collected data
• Data Analytics: Leverage data analytics tools to validate and verify the quality of survey data. Explore alternative data sources and apply imputation methods to handle incomplete data
• Data Analysis & Reporting: Analyze collected data and produce clear, actionable reports, using data visualization tools to present findings effectively to stakeholders
• Dissemination Strategy: Develop and execute strategies to raise awareness of statistical products and ensure they meet the diverse needs of various societal segments

Programme Highlights:

• Gain practical experience in survey operations and statistical processes
• Rotate through different roles to understand various aspects of the department
• Build your communication and interpersonal skills by engaging with a wide range of survey participants
• Develop specialized expertise in areas that match your career aspirations

Job Requirements:

• Good tertiary qualifications
• Strong analytical and problem-solving skills
• Excellent communication and interpersonal skills
• A keen learner and self-starter

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOL job application platform - GO Mobile https://sg.persolgo.com/job/details/13641

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

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Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28LLM-for-Construction-Safety%29/32518-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Fellow (RF) to join a groundbreaking, government-funded research project: MIDAS. This project aims to transform Design for Safety (DfS) in the construction and built environment sectors by developing an advanced, AI-driven advisory platform. MIDAS will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal data (text, images, and Building Information Models) to proactively identify design risks and recommend mitigation measures throughout a project's lifecycle. 

The successful candidate will play a pivotal role in driving the core technical development of the MIDAS platform, specifically focusing on multimodal data ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns. 

Job Requirements

•    At least a PhD in Civil Engineering, Built Environment, Computer Science or related field from a reputable university.
•    Evidence of strong publication record in top academic journals. 
•    Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks
•    Proven experience working with Large Language Models and building RAG architectures.
•    Familiarity with BIM, IFC and graph databases.
•    Familiarity with Computer Vision techniques.
•    Strong research experience, specifically in past research projects related to robotics or scenegraphs is required
•    Strong written and oral communication skills.
•    Open to fixed term contract. 

Job Responsibilities:

• Lead and contribute to advanced research efforts in 6G wireless communication technologies.
• Develop and refine technical proposals for international standards organizations (e.g., 3GPP).
• Analyze emerging trends and integrate cutting-edge concepts (e.g., AI, energy efficiency, satellite communications) into research agenda.
• Collaborate with interdisciplinary teams to evaluate technology feasibility and alignment with global standards.
• Drive ecosystem engagement by participating in global alliances, industry forums, and standardization committees.
• Mentor junior engineers in the standardization process and technical writing.

Requirements:

• MS or PhD in Electrical Engineering, Communication Engineering or related field.
• Expert knowledge of digital signal processing, wireless communication algorithms, or protocol design.
• Deep familiarity with mobile communication standards (3G, 4G, 5G and beyond).
• Strong experience in submitting and defending proposals in international standardization bodies.
• Programming skills (C/C++, Matlab, Python) are highly desirable.
• Solid industry track record and with 8 years relevant industry experience, ideally including patenting or published contributions to wireless standards.
• Preferred expertise in at least one area: AI for communications, satellite systems, or wireless energy engineering.

Interested candidates may apply through the application system. We regret that only shortlisted candidates will be notified.

PERSOL Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394 • EA Registration No. R22111378 (Ong Xin Yee)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.co.... You acknowledge that you have read, understood, and agree with the Privacy Policy. 

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28LLM-for-Construction-Safety%29/32519-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering at the National University of Singapore (NUS) is seeking a highly motivated and talented Research Engineer to join a groundbreaking, government-funded research project: MIDAS. This project aims to transform Design for Safety (DfS) in the construction and built environment sectors by developing an advanced, AI-driven advisory platform. MIDAS will leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal data (text, images, and Building Information Models) to proactively identify design risks and recommend mitigation measures throughout a project's lifecycle. 

The successful candidate will play a pivotal role in assisting with the core technical development of the MIDAS platform, specifically focusing on multimodal data ingestion and the RAG-based LLM reasoning engine. Key responsibilities include designing the algorithms, collaborating closely with multidisciplinary teams, and leading groups of student interns. 

Job Requirements

•    At least a bachelor’s in Civil Engineering, Built Environment, Computer Science or related field from a reputable university. Masters will be preferred.
•    Evidence of strong publication record in top academic journals
•    Proficiency in programming languages, particularly in Python or Matlab for automation and data analysis tasks
•    Familiarity working with Large Language Models and building RAG architectures.
•    Familiarity with BIM, IFC and graph databases.
•    Strong research experience, specifically in past research projects related to robotics or scene graphs is required
•    Strong written and oral communication skills.
•    Open to fixed-term contract

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-in-Middle-East-Institute/32511-en_GB/?st=CEC2C77AAA55306C3E1A3D6E86A41CCCF84908B8

We regret that only shortlisted candidates will be notified.

Middle East Institute (MEI)

The Middle East Institute (MEI) is looking for outstanding researchers for the position of Research Fellow.

As a Singapore-based research institute, MEI is well-positioned between the Middle East and East Asia. We are therefore on the look-out for researchers who not only have an in-depth knowledge of the Middle East but also understand Northeast or Southeast Asia.

In particular, we seek researchers with expertise in the following areas of relevance to the Institute’s Research Clusters:

1.    Global and geopolitical dynamics of the Middle East, including China, Iran and Turkey.

2.    Economies of the Gulf states, and the social, religious and cultural reforms they are undergoing.

Job Description

The Institute’s Research Fellows work under the supervision of the Director and Deputy Director. You may therefore be asked to:

1. Participate in current cluster projects and be encouraged to lead a project.
2.  Assist with organising workshops and conferences.
3. Participate in the Institute’s outreach activities.
4. Contribute to academic research via peer-renewed journals, books, and chapters where requested.

As a Research Fellow at MEI, you will be asked to contribute regularly to our publications and other communications platforms. Some activities you can expect to undertake include:

1. Being actively involved in the activities of your chosen research cluster and those of the wider Institute Contributing at least three in-house publications.
2. Write detailed analyses of current events for our stakeholders.
3. Call for, and edit, papers offering in-depth analysis of a single subject, for quarterly publication.
4. Providing short commentaries to our social media platforms.
5. Where appropriate, accepting requests for commentary from local and international media.
6. Participating in our outreach activities.

Job Requirements

1. You must have fulfilled all requirements of securing a PhD from a reputable university.
2. You may apply even if you are still a PhD candidate. If you are successful, your graduation must be confirmed by the time you join the Institute. An official letter from the Registrar’s Office of your university will be required to confirm the award of your PhD degree.

Terms of Appointment

1. The appointment is for two years only.
2. You will be paid a fixed monthly salary. This is an all-inclusive sum of stipends for housing and living expenses.
3. You will receive a one-time travel assistance payment.
4. Housing is NOT PROVIDED. You are expected to make your own private arrangements.
5. All salary and benefits-in-kind are subject to tax as required by Singapore’s tax laws.
6. You will be eligible for support for research fieldwork and conference attendance.
7. For further information on benefits, about working in NUS and living in Singapore, go to 'Why Join Us'.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column in the NUS Career Portal when submitting your application:

1. Covering Letter;
2. Curriculum Vitae;
3. Copies of Certificates and Degrees (in English);
4. Two samples of published work in English; and
5. Two Letters of Reference

Additional Application Information

1. Only fully completed applications will be considered including the submission of the two letters of reference.
2. Only successful candidates will be notified (via email). If you are not contacted within ten weeks after the closing date of the advertisement, the position has been filled.
3. Appointment is conditional on approval by the National University of Singapore (NUS) and the Ministry of Manpower granting you an Employment Pass or other applicable work passes.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Environmental-Microbiology-and-Biotechnology%29/32492-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking for a highly motivated and collaborative Research Engineer with demonstrated skills in environmental engineering, microbiome, and bioinformatics. The position involves developing novel biotechnologies for nutrients removal and pollutants detoxification in bioreactors, engineered systems, waterbodies and the environment, in particular cultivation and characterization of functional microbes, predictive understanding of microbiome dynamics and functioning in engineering systems such as bioreactors in lab and pilot scale. The selected Research Engineer will be responsible for sample collection or management, culturing, microbiome analysis, data processing, integration, etc. He/she will also be encouraged to collaborate with other laboratory members on diverse research projects.

Job Requirements

•    Possess a bachelor’s degree in environmental engineering.
•    Master’s degree is preferred. 
•    At least 3 years’ of relevant working experience  
•    Prior research experience in one or more areas such as environmental microbiology and biotechnology, chemical analysis; 
•    Multidisciplinary knowledge and research experience in engineering, chemical analysis, environmental biotechnology, bioinformatics, statistics, data mining, machine learning.
•    Independent, motivated, resourceful and able to work in a team.
•    Strong written and spoken communication skills. 
•    Excellent quantitative, writing, and presentation skills.
•    Experience in publishing peer-reviewed publications.
•    Demonstrated ability to direct and run independent research project(s).
Experience collaborating with industrial teams.
•    Open to fixed-term contract 

Responsibilities:

•             Providesassistance to the research team

•             Screensand recruits suitable patients to participate in the research project

•             Briefspatients on research background and rationale and to obtain their consent ofparticipation

•             Collectsdata from patients' medical records and research statistics

•             Helpsdocument adverse events / reactions that arise

•             Performsphlebotomy and venepuncture when required

Requirements:

•             MinimumDegree/ Diploma in Nursing

•             Min 3years’ experience in Hospital

Only Nurses with SNB license NEED APPLY

Interested candidates please send a copy of your resume inMS Word to

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Bayesian-Inference-&-Genomic-Epidemiology%29/32501-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public
Health seeks a Research Fellow with deep expertise in Bayesian statistical modelling and genomic
epidemiology to contribute to methodological and applied research across several funded
programmes. Core themes include the integration of genomic, serological, and epidemiological
data into unified Bayesian frameworks; real-time inference of transmission dynamics and variant
fitness; and the development of semi-mechanistic models for arbovirus lineage surveillance across
South and South-East Asia.

The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public
Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial
College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the
National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network
(MLGH), and wider regional and global partners.

Key Responsibilities
• Develop and extend Bayesian semi-mechanistic renewal equation models for estimating
genotype-specific reproduction numbers and immune escape.
• Build scalable inference pipelines integrating genomic (phylogenetic/lineage) data with
epidemiological surveillance streams.
• Apply and extend deep generative modelling approaches (e.g. normalising flows,
variational inference) to handle large-scale pathogen genomic datasets.
• Contribute to real-time dashboards and toolkits for arbovirus genomic surveillance (DENV,
ZIKV) across the region.
• Publish findings in high-quality peer-reviewed journals; present at international
conferences.
• Co-supervise Research Associates and Research Assistants; contribute to grant writing
and reporting.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in statistics, biostatistics, computational epidemiology, bioinformatics, or related field.
• Strong hands-on experience with probabilistic programming (Stan, PyMC, NumPyro,
Turing, or equivalent).
• Proficiency in Python and/or R; experience with JAX or similar autodiff frameworks is
advantageous.
• Familiarity with at least one of i) phylodynamic methods (BEAST, IQTREE, or equivalent),
ii) lineage classification frameworks, and iii) renewal equation or compartmental
transmission models.
• Track record of peer-reviewed publications.
• Strong quantitative and coding skills; ability to work in collaborative, multi-institutional research settings.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Maritime-Safety-and-Data-Analytics-%29/32512-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The project will be engaging a Research Fellow to undertake advanced research on AIS-driven multi-vessel interaction analysis, with a particular focus on estimating navigational capacity in restricted and congested waterways (e.g., port approaches, straits, and narrow channels). Leveraging large-scale Automatic Identification System (AIS) datasets, the study will systematically extract vessel trajectories, characterize interaction patterns among heterogeneous vessel types, and identify critical factors influencing traffic flow efficiency and safety. It will further integrate multi-source data, including high-resolution meteorological and oceanographic information (e.g., wind, waves, currents, and visibility), to capture the impact of environmental conditions on vessel behavior and waterway capacity. Advanced data processing pipelines will be developed to handle massive, noisy, and heterogeneous datasets, ensuring data quality, scalability, and computational efficiency.

The selected RF will be required to collaborate closely with project team members on a range of activities:
(1) Large AIS data process
(2) AIS data based maritime safety assessment 
(3) Capacity estimation for the restricted waters
(4) Preparation of technical reports and slides
(5) Engagement with stakeholders through meetings and discussions.

Job Requirements

• Possess a PhD in Maritime Safety, Computer Engineering/Science, Data Science related subjects (incl. PhD to be received in 6 months after starting work).
• Experience in developing AIS data-driven models.
• Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++.
• Excellent interpersonal and communication skills.
• Values teamwork and display great leadership. Able to self-manage and self- motivated, with minimum supervision. 
• Open to fixed-term contract.
      
Prioritized Requirements:
• AIS Data mining and analysis, machine learning skills.
• Research experience on maritime risk assessment and big AIS data processing.
• Good publication record in international leading journals.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Traffic-safety-and-data-analytics%29/32494-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A few Research Fellows (RFs) will be engaged in a research project to develop a robust, data-driven, and AI-powered framework for evaluating the impact of vehicle speed management policies, with a particular focus on age-related vulnerability. The proposed approach will explicitly account for the age profiles of road users, multiple vehicle types (e.g., passenger cars, trucks, and buses), as well as roadway and environmental conditions.The project aims not only to deepen the understanding of how age and vehicle speed jointly influence crash frequency and injury severity, but also to deliver practical tools to support the design of inclusive and adaptive speed management policies for an ageing population. In addition to utilizing road crash data, the project will also collect and incorporate driving simulator data to support model development and validation.

The selected RF will be required to collaborate closely with project team members on a range of activities:

•    Traffic safety related data collection such as large-scale driving simulator experiments
•    AI-based traffic safety modelling and analysis, 
•    preparation of technical reports and slides, 
•    engagement with stakeholders through meetings and discussions.

Job Requirements

•    Possess a PhD in Traffic Safety, Computer Engineering/Science, Data Science related subjects (incl. PhD to be received in 6 months after starting work).
•    Experience in developing driving simulator-based models.
•    Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++.
•    Excellent interpersonal and communication skills.
•    Good teamwork and leadership, self-manage and motivated, with minimum supervision. 
•    Open to fixed-term contract.
    
Prioritized Requirements:

• driving simulator-based model development, machine learning skills.
• Research experience on traffic safety and driving simulator usage.
• Good publication record in international leading journals.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Traffic-safety-and-data-analytics%29/32493-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A few Research Fellows (RFs) will be engaged in a research project to develop a robust, data-driven, and AI-powered framework for evaluating the impact of vehicle speed management policies, with a particular focus on age-related vulnerability. The proposed approach will explicitly account for the age profiles of road users, multiple vehicle types (e.g., passenger cars, trucks, and buses), as well as roadway and environmental conditions.The project aims not only to deepen the understanding of how age and vehicle speed jointly influence crash frequency and injury severity, but also to deliver practical tools to support the design of inclusive and adaptive speed management policies for an ageing population. In addition to utilizing road crash data, the project will also collect and incorporate driving simulator data to support model development and validation.

The selected RF will be required to collaborate closely with project team members on a range of activities:

•    Traffic safety related data collection such as large-scale driving simulator experiments
•    AI-based traffic safety modelling and analysis, 
•    preparation of technical reports and slides, 
•    engagement with stakeholders through meetings and discussions.

Job Requirements

•    Possess a PhD in Traffic Safety, Computer Engineering/Science, Data Science related subjects (incl. PhD to be received in 6 months after starting work).
•    Experience in developing driving simulator-based models.
•    Ability to sophisticatedly use at least one programming language, e.g., Python, R Java, SQL, Julia, C# and C++.
•    Excellent interpersonal and communication skills.
•    Good teamwork and leadership, self-manage and motivated, with minimum supervision. 
•    Open to fixed-term contract.
      
Prioritized Requirements:

• driving simulator-based model development, machine learning skills.
• Research experience on traffic safety and driving simulator usage.
• Good publication record in international leading journals.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for public release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Bachelor degree in Computer Science, Information Technology, or related discipline (e.g., Computer Engineering, Physics).
• 3+ years of industry experience in CI/CD automation, big data pipeline, and/or applied AI/ML
• Prior experience in vulnerability reporting and fixing, demonstrated by concrete accepted pull requests.
• Highly fluent in Python and SQL; competent in at least one additional language (e.g., C++).
• Demonstrated experience building and optimizing end-to-end data/ML pipelines.
• Hands-on experience with cloud platforms and big data tools.
• Competent in designing and implementing algorithms and data structures.
• Practical experience applying ML/AI techniques in production environments.
• Excellent knowledge about software engineering and artificial intelligence.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.

#LI-JN2

The Edge AI Acceleration Group at the Singapore University of Technology and Design (https://sites.google.com/view/bowang/home) is looking for a motivated Research Fellow or Research Associate to join us in pushing the boundaries of edge AI acceleration. We focus on energy-efficient circuit design and software-hardware co-optimization, with exciting applications in event-based vision.

What we’re looking for:

• A PhD/Master in Electrical and Computer Engineering or a related field.
• A strong track record of publications in software-hardware co-design (e.g., Neural Architecture Search) or computer architecture (e.g., hardware simulator design)
• Experience in event-based processing or neuromorphic computing is a strong plus

Why join us?

• Work in a flexible and vibrant research environment with state-of-the-art lab facilities.
• Collaborate with A*STAR, the most prestigious research institutes in Singapore, and leading universities worldwide for international exposure
• Enjoy competitive remuneration + excellent opportunities to grow your academic and professional profile

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-FellowSenior-Research-Fellow-%28AGI-Research%29/32480-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Prof. YAN Shuicheng from the Learning and Vision Lab (LV-AGI and LV-Robotics sub-labs) at the School of Computing, National University of Singapore is exploring AGI (Efficient and Evolving) and Robotics (Embodied AI). We are seeking creative Research Fellows or Senior Research Fellows to join our team and drive breakthrough research. This position offers a unique opportunity to develop novel computational architectures for foundation models, explore embodied AI approaches, and pioneer self-improving methodologies that push the boundaries of intelligent systems.

Key Responsibilities:

• Lead groundbreaking research in AGI with a focus on AGI (Efficient and Evolving) and Robotics (Embodied AI).
• Collaborate with an interdisciplinary team to produce influential publications in premier conferences and journals, significantly impacting the AGI community

Apply:
If you are excited to join our cutting-edge AGI research team, please send your latest Curriculum Vitae to the NUS Career Portal. We look forward to exploring this exciting opportunity with you.

Job Requirements

• Demonstrated expertise in AGI research through previous roles in academia, industry, or government research labs.
• A Ph.D. in Computer Science, Statistics, Applied Mathematics, Data Science, or related fields is highly desirable.
• A strong publication record as a first author in top AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, ACL) and journals (e.g., TPAMI, JMLR, AIJ), or contributions to high-impact journals such as Cell, Nature, and Science.
• Proficiency in differentiable programming frameworks such as PyTorch, TensorFlow, and JAX.
• A proven track record of high-impact research with multiple papers garnering 100+ citations is preferred.
• Recognition through best paper awards or similar accolades at leading conferences is preferred.
• A strong record in international academic competitions is preferred.

Contract Period: From 1 August 2026 to 31 July 2027 with an option to extend the Contract for a further period of 1 year.

Working hours:
·     Mondays to Wednesdays only: 8:00am to 5:00pm, inclusive of 30mins lunch break
·     Service is not required on gazetted public holidays

Scope of Services:

1. Assist in the preparation of teaching and learning resources.
2. Assist in the preparation of science experiment materials and maintain the cleanliness and organisation of the science laboratory.
3. Assist students in carrying out the science experiments under the supervision of the Science teachers.
4. Provide administrative support to the teachers (e.g. preparation of student’s achievement certificates and collation of students’ survey responses).
5. Manage the loan and return of teaching resources and prepare documentation for the condemnation of teaching resources where required.
6. Provide front-desk customer service, including handling walk-in and telephone enquiries from parents as when required.
7. Assist with school printing duties as when required.

Qualifications, skills and experience:

·       GCE N-Level Certificate with passes in English and Mathematics.

·       At least two (2) years of experience in providing teaching support.

·       At least two (2) years of experience in handling reception duties or equivalent administrative responsibilities.

Candidates with prior experience working in a local school environment will be preferred.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching.

At the LKCMedicine’s Centre for Geroscience and Geromedicine (CGG), we are developing a timely multi-disciplinary platform to allow nature-inspired knowledge to be transferred for the benefit of healthy ageing in humans. While past research is yet to provide effective solutions for healthy aging, importantly, nature appears to have already solved the problem in the only flying mammals – bats. Bats have several key features with high value to the human health and in particular ageing. These include hosting viruses lethal to humans without getting sick and their exceptionally long lifespan and healthspan (the number of years that someone lives in good health). This centre will focus on its mission of discovering nature-inspired new strategies for healthy longevity and its vision of enhancing health and extending healthspan through accelerated translation from bench to bedside. By working closely with  clinicians in NHG Health and scientists in NTU as well as national and international partners, the centre is positioned to advance nature-inspired research for healthier aging and offer strong new solutions in key areas including Skin & Musculoskeletal Health, Metabolic Aging & Nutrition, Brain Aging & Health and Cancer & Regenerative medicine.

We are looking for a highly motivated Research Fellow/Senior Research Fellow to join the Centre for Geroscience and Geromedicine at LKCMedicine to support various aspects of translational immunology and aging research. The work will be conducted in a research group led by Nanyang Assistant Professor Ahn Matae who is a pioneer in bat immunology. The projects focus on bat-inspired new strategies to fight human diseases and ageing, and have multiple national and international collaborations.

Key Responsibilities:

• Perform tasks and support all aspects of the research projects.

• Support centre’s operations, research administration, local/international partnerships and commercialization.

• Effective management of biosample and biobank inventory. 

• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings. 

• Assist researchers in programming, data analysis and literature review in various research projects. 

• Evaluate and interpret collected data and prepare oral presentations or written reports/ scientific manuscripts/literature for publication. 

• Contribute to project management, presentations and publications of research work, including supervision of students and occasional laboratory demonstrations where applicable. 

• Perform other related duties incidental to the work described therein. 

Key Competencies and Requirements:

• PhD degree in Life Sciences, Biology, Biotechnology or related field

• At least 2 years of relevant experiences in animal work, cell culture, molecular study and/or bioinformatic analysis  

• At least 2 years of relevant experiences in academic/industrial environment, with end-to-end grants and/or project operations.

• Prior working experience in the areas of immunology or aging is preferred but not compulsory for those with good academic and research track record.

• Demonstrated good knowledge, skills and expertise in supporting various research activities.

• Equipped with effective organizational and interpersonal communications with excellent written, oral communication and computer skills.

• A team player who is able to prioritize, multi-task and work collaboratively in a diverse workforce. 

We regret to inform that only shortlisted candidates will be notified.

Duties and Responsibilities

·      Manage daily library operations, including resources, systems, and circulation services

·      Support library programmes, user services, and literacy initiatives

·      Supervise students and maintain a safe, conducive learning environment

·      Administer and monitor Late-Coming (LC) records and student data

·      Coordinate and supervise detention, suspension, and student management processes

·      Maintain accurate documentation, reporting, and follow-up actions

·      Provide administrative support, including budgeting, resource coordination, and compliance with school policies

·      Other duty as assigned under Student Affairs& Services Department

Job Requirements

·      Nitec or its equivalent from the Library Association of Singapore

·      Working experience in a similar capacity, preferably in a secondary school environment

·      Experience in using the Spydus system will be an added advantage

·      Ability to supervise students firmly and professionally

·      Proficiency in spreadsheets and administrative tools

·      Working Hours: 9 am - 6.30 pm (Mon to Thu) and 9 am - 6 pm (Fri)

Interested parties, please email your updated resume to hrd@sst.edu.sg

The Lee Kong Chian School of Medicine (LKCMedicine), a partnership between Nanyang Technological University, Singapore (NTU Singapore) and Imperial College London, is committed to training doctors who place patients at the centre of exemplary care. Guided by its vision to redefine medicine and transform healthcare, LKCMedicine advances research through impactful discoveries with national and global relevance. The School’s research focuses on five key areas: Neuroscience and Mental Health, Population and Global Health, Respiratory and Infectious Diseases, Nutrition, Metabolism and Health, and Skin Diseases and Wound Repair. These programmes address Singapore’s evolving healthcare needs, including those of a rapidly ageing population, and are supported by cross cutting strengths in Data Science, Developmental Biology and Regenerative Medicine, and Microbiome Medicine.

The JChen Lab, led by Dr. Weiqiang (Javier) Chen, Assistant Professor of Viral Immunopathogenesis, is part of the Respiratory and Infectious Diseases programme and is building a dynamic and interdisciplinary research environment to uncover how viral infections drive inflammation, neurological injury, and musculoskeletal disease. The lab integrates molecular virology, immunology, and advanced disease models to investigate how emerging viral infections reprogram host immune responses and disrupt tissue homeostasis across organ systems, with a central focus on viral immunopathogenesis and host responses.

We are seeking a motivated Research Fellow to join the JCHEN Lab, which studies how viral infections disrupt immune homeostasis to cause inflammation, neurological injury, and bone pathology, especially in ageing. The role supports our mission to uncover mechanisms of viral disease and develop therapeutic strategies.

Key Responsibilities:

• Design, execute, and manage independent research projects from conception through data analysis and manuscript preparation

• Conduct experimental research to a high standard in accordance with institutional biosafety, animal ethics, and research integrity guidelines

• Develop and optimize experimental protocols involving molecular and cellular biology, virology, and animal disease models

• Analyze and interpret complex datasets and present findings at lab meetings, institutional seminars, and scientific conferences

• Prepare manuscripts, grant related documents, and progress reports in a timely and professional manner

• Supervise and mentor junior researchers, students, and technicians, fostering a collaborative and productive laboratory culture

• Contribute to the overall scientific operations of the laboratory, including experimental planning, reagent management, and shared resources

• Actively engage in interdisciplinary collaborations within NTU and with external partners

Key Competencies and Requirements:

• PhD in Microbiology, Immunology, Virology, Molecular Biology, or a related biomedical science discipline

• Relevant postdoctoral or equivalent research experience in infectious disease research, with expertise in viral pathogenesis or host immune responses preferred

• Strong hands-on experience with virology techniques, including virus culture, viral quantification, plaque assays, and molecular approaches such as qPCR, Western blot, and flow cytometry

• Demonstrated expertise in cellular and molecular immunology assays, including immune cell phenotyping and functional analyses

• Experience with next generation sequencing approaches (e.g. bulk RNA sequencing and single cell RNA sequencing) and associated data analysis

• Familiarity with bioinformatics tools and pipelines for analysis and interpretation of high dimensional datasets

• Familiarity with biosafety level 2 and biosafety level 3 laboratory practices and compliance with institutional and national safety regulations

• Proven ability to design, execute, and interpret experiments independently and contribute to scientific publications

• Strong written and oral communication skills, with the ability to present research findings and collaborate effectively with multidisciplinary teams

• Demonstrated organizational skills and ability to manage multiple projects and timelines

• Ability to work independently while contributing to a collaborative research environment

• Experience in mentoring junior researchers or students is advantageous

• Experience with interdisciplinary or international collaborations is desirable

We regret to inform that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Computer-Science%29/32470-en_GB/?st=268F709592288E636706A7A9A3F4FD9E1228D918

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The successful candidates will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. 

Only shortlisted candidates will be notified.

Job Requirements

•  Bachelor’s or Master's degree in Computer Science
•  Experience in Research
•  Demonstrated ability to carry out independent research or project work.
•  Excellent communication, documentation, and teamwork skills.

NVIDIA is searching for several outstanding large language model and foundation model research interns to join our Research team. We are passionate about research that pushes boundaries but also has impact in the real world. You will be part of an outstanding collaborative research team that consistently publishes at the top venues in machine learning and systems. Our existing expertise includes large language model, generative models, and so forth. Your contributions have the chance to create real impact on our products.

What you'll be doing:

Research, design and implement novel large language model and foundation models.

Perform model optimization, compression and acceleration.

Publish original research.

Collaborate with other team members and teams.

Speak at conferences and events.

Transfer technology to product groups.

Collaborate with external researchers.

What we need to see:

Currently pursuing a Ph.D. in Computer Science/Engineering, Electrical Engineering or a related field.

Strong background of theory and practice of LLM and foundation model, as well as deep learning.

Excellent knowledge of theory and practice of model compression and acceleration techniques.

Excellent programming skills in some rapid prototyping environment such as Python; C++and parallel programming (e.g., CUDA) is a plus.

Knowledge of common machine learning frameworks, such as PyTorch.

Outstanding research track record, very good publication record.

Excellent communication and interpersonal skills.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Computer-Science%29/32469-en_GB/?st=FBC0F159DBF57D30EA4D2A70AA55AD1C0D7BC7EA

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. 

Only shortlisted applicants will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong development skills

Data Analysis and Research exposure with a Public Agency!

• Up to $5,500 per month
• 11-month contract
• Mon - Fri, office hours
• Central Location

What to expect:

• Support the development, implementation, and testing of a new data analytics system as part of a project team.
• Generate data-driven insights through Excel visualisations (e.g., charts, pivot tables, dashboards)
• and support testing of enhancements to data visualisation tools and pipelines.
• Collaborate with stakeholders including data custodians, data engineers, product managers, and contractors to deliver solutions aligned with organisational needs.
• Co-ordinate project operations such as vendor management, research material reviews, survey platform testing, and ensuring quality deliverables.
• Consolidate and standardise data from multiple sources while maintaining data integrity and consistency.

Requirements:

• Possesses minimum a Bachelor's Degree with 2 years of experience in quantitative market research project management, data profiling and review.
• Working knowledge of R and/or Python would be advantageous.
• Strong analytical skills, detail-oriented with high level of accuracy in data management.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
• Delete personal data as it is not required at this application stage.
• All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd - 11C5781

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28AI-&-Machine-Learning-for-Infectious-Disease-&-Public-Health%29/32508-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Role
The Centre for Epidemic Response & Modelling (CERM) at NUS Saw Swee Hock School of Public Health invites applications for a Research Fellow to drive AI-centred research within a portfolio that spans decision-support for pandemic response, social network modelling, equitable AI for clinical applications, and developing culturally-congruent LLMs to advance behavioural modelling in public health.

The postholder will work with Asst. Prof. Swapnil Mishra (Deputy Director, CERM and AI for Public Health Programme) and engage an active network of collaborators spanning CERM, NUS, Imperial College London, Ashoka University, the Communicable Diseases Agency Singapore (CDA), the National Environment Agency Singapore (NEA), the Machine Learning & Global Health Network (MLGH), and wider regional and global partners. They will have significant latitude to shape their research direction within these themes and will collaborate closely with engineers, epidemiologists, clinicians, and policy stakeholders.

Key Responsibilities
• Develop and validate deep learning and machine learning models for behaviour modelling,
including foundation models, graph neural networks (GNNs), and sequence models applied
to public data for good.
• Prototype and evaluate reinforcement learning frameworks for simulating and optimising
public health interventions under uncertainty.
• Build AI pipelines for social network and information diffusion modelling; explore LLMbased
simulation of intervention scenarios.
• Publish findings in leading venues.
• Co-supervise junior researchers; contribute to grant reporting and proposal writing.

Additional Opportunities
The group actively supports career development through conference travel, training workshops, and mentorship from senior researchers and international collaborators.

Qualifications

• PhD in computer science, machine learning, data science, computational epidemiology, or
a closely related field.
• Strong expertise in deep learning frameworks (PyTorch, JAX, or TensorFlow); experience
with LLMs or foundation models is a significant advantage.
• Proficiency in Python; familiarity with R is beneficial but not required.
• Experience in at least two of: time-series forecasting, GNNs, reinforcement learning,
NLP/LLMs, computer vision, or causal inference.
• Demonstrated publication record commensurate with career stage.
• Interest in real-world public health and policy impact; ability to communicate technical work
to non-specialist audiences.

Interested applicants should submit the following documents:
• A cover letter explaining your interest in the position, relevant experience, and research vision.
• A comprehensive curriculum vitae, including a full list of publications.
• A research statement (maximum two pages) outlining past contributions and future directions.
• Contact information for two professional references (letters may be requested).